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Record W3010996566 · doi:10.18740/ss27260

A Decent House, a Decent Job, a Decent Life: Social Reproduction Theory and Working Class Organizing in Cape Town.

2020· article· en· W3010996566 on OpenAlexafffundvenue
Adrian Murray

Bibliographic record

VenueSocialist studies · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of Ottawa
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsWorking classReproductionSociologyRestructuringClass (philosophy)CapitalismFace (sociological concept)Social reproductionProletariatClass conflictMultitudePolitical economySocial classGender studiesSocial capitalPolitical scienceSocial sciencePoliticsLawEpistemology

Abstract

fetched live from OpenAlex

While progressive coalitions continue to oppose neoliberal restructuring, organizing on the left remains fragmented and the underlying unity of the multitude of working class struggles undertheorized. Overcoming these theoretical and practical obstacles is an urgent task in the face of both renewed attempts by the state and capital to ensure stability and deepen market penetration into the remaining untouched corners of working-class life, and threats to unity generated within the left by narrow understandings of class and identity. Drawing on empirical research around struggles for housing and public services in Cape Town, South Africa, this paper argues that Social Reproduction Theory (SRT) may provide just such an integrated theorization of the diverse experiences and struggles of the working class. SRT recovers class by building from everyday experience to generate unifying understandings of class struggle within a capitalist totality in which difference within the class is constitutive.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.218

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.016
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.080
GPT teacher head0.267
Teacher spread0.187 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2020
Admission routes3
Has abstractyes

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